Discovery-based analysis for chromatographic trends using alteration analysis (ALA) and two-dimensional correlation analysis (2DCOR)
Presentations | 2026 | Los Alamos National Laboratory | MDCWInstrumentation
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Accelerated Aging and Analysis of High Explosives via a Novel Two-Dimensional Gas Chromatography Method
2025|LECO|Presentations
Accelerated Aging and Analysis of High Explosives via a Novel Two-Dimensional Gas Chromatography Method Colleen L. Ray PhD Chris E. Freye PhD Q-5 High Explosives Science and Technology 04 February 2025 LA-UR-25-20462 Approved for public release; distribution is unlimited. Managed…
Key words
boom, boomaging, agingaam, aambam, bamexplosives, explosivesalteration, alterationstyle, stylehome, homeaccelerated, acceleratedsam, samala, aladozens, dozensmaps, mapsstudies, studiesreactor
17th Multidimensional Chromatography Workshop Abstract book
2026|LECO|Others
January 12 - 15, 2026 Abstract Book Thank you to our sponsors for making this event possible. It is your generous support that enriches the conference program and allows us to operate the conference with free registration for all attendees.…
Key words
dimensional, dimensionalabstract, abstractchromatography, chromatographycomprehensive, comprehensivetwo, twogas, gasgcxgc, gcxgcanalysis, analysisspectrometry, spectrometryflight, flightmass, masstofms, tofmstwodimensional, twodimensionalpyrolysis, pyrolysisnontargeted
EXPANDING THE SCOPE OF TILE-BASED GC×GC–TOFMS DATA ANALYSIS
2024|LECO|Presentations
EXPANDING THE SCOPE OF TILE-BASED GC×GC–TOFMS DATA ANALYSIS Robert E. Synovec, Caitlin N. Cain, Lina Mikaliunaite Department of Chemistry, Box 351700 University of Washington Seattle, WA 98195, USA 15th Multidimensional Chromatography Workshop Friday, January 12, 2024 OUTLINE • The Goals…
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𝐶𝑙𝑎𝑠𝑠, 𝐶𝑙𝑎𝑠𝑠𝑉𝑎𝑟𝑖𝑎𝑛𝑐𝑒, 𝑉𝑎𝑟𝑖𝑎𝑛𝑐𝑒𝐵𝑒𝑡𝑤𝑒𝑒𝑛, 𝐵𝑒𝑡𝑤𝑒𝑒𝑛𝑟𝑎𝑡𝑖𝑜, 𝑟𝑎𝑡𝑖𝑜tile, tileratio, ratiopacu, pacufish, fish𝑣𝑎𝑟𝑖𝑎𝑛𝑐𝑒, 𝑣𝑎𝑟𝑖𝑎𝑛𝑐𝑒𝑐𝑙𝑎𝑠𝑠, 𝑐𝑙𝑎𝑠𝑠𝑤𝑖𝑡ℎ𝑖𝑛, 𝑤𝑖𝑡ℎ𝑖𝑛classes, classestofms, tofms𝑊𝑖𝑡ℎ𝑖𝑛, 𝑊𝑖𝑡ℎ𝑖𝑛class
Comprehensive machine learning prediction of GC/MS pesticide recovery based on the molecular fingerprinting for food QA/QC
2019|Agilent Technologies|Posters
Poster Reprint ASMS 2019 TP298 Comprehensive machine learning prediction of GC/MS pesticide recovery based on the molecular fingerprinting for food QA/QC Takeshi Serino* 1,2; Sadao Nakamura1; Yoshizumi Takigawa1; Norton Kitagawa3; Shigehiko Kanaya 2 1 Agilent Technologies, Hachioji City, Japan 2…
Key words
learning, learningmachine, machine𝑖𝑗, 𝑖𝑗descriptor, descriptorsmiles, smilesrecovery, recoverypek, pekatoms, atomsgeneralization, generalizationpesticide, pesticideprediction, predictionpesticides, pesticidesmethods, methodsindex, index𝑦ത
